Full-Stack Generative AI Developer
4 days ago
We are seeking a highly skilled and motivated Full-Stack Developer to join our team and contribute to the development of an innovative new application powered by Generative AI. This role requires deep expertise in the MEAN (MongoDB, , Angular, ) stack combined with practical experience in integrating and deploying applications on Amazon Web Services (AWS).
Key Responsibilities
- Design and Development: Lead the end-to-end development of our generative AI-based application, from database design and API creation to front-end implementation.
- Generative AI Integration: Work closely with the Data Science team to integrate, deploy, and scale existing Generative AI/LLM models (e.g., via APIs or custom models deployed on AWS) into the application's backend services.
- MEAN Stack Mastery: Build robust, scalable, and secure APIs using and develop responsive, single-page applications using Angular (version 13+ preferred).
- Database Management: Design and manage MongoDB schemas and optimize database performance for high-volume, real-time data access, leveraging AWS services like DocumentDB.
- Deployment and Operations on AWS: Own the deployment, monitoring, and scaling of the application within the AWS environment, utilizing core services and implementing CI/CD pipelines.
Required Qualifications
- Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Experience: Minimum 2+ years of professional experience in full-stack web development.
- Generative AI/ML Experience:
- Experience building Virtual Assistants, Copilots etc.
- Prior experience using libraries like LangChain, LangGraph, AG-UI etc.
- Proven experience integrating third-party AI services, building Agentic AI applications, integrating MCP servers.
- MEAN Stack Proficiency:
- Expert-level command of and for building backend APIs.
- Excellent feel for UI/UX and strong proficiency in Angular (13+) with a focus on component-based architecture and state management (e.g., NgRx, RxJS).
- Solid experience with MongoDB (or similar NoSQL databases), including indexing, aggregation pipelines, and performance tuning.
- Fluency in JavaScript/TypeScript, HTML5, and CSS/SCSS.
- AWS Cloud Expertise (2+ years required):
- Proven experience with core AWS services relevant to application deployment (e.g., EC2, Lambda, S3, DocumentDB, API Gateway).
- Hands-on experience implementing CI/CD pipelines on AWS (e.g., AWS CodePipeline, Jenkins on EC2).
- Familiarity with AWS security best practices (IAM, Security Groups).
Preferred Skills (Nice to Have)
- Streaming over http using WebSocket.
- Experience with AWS serverless architectures (Lambda, DynamoDB).
Familiarity with Vector Databases (e.g., Pinecone, Chroma) and RAG (Retrieval-Augmented Generation) patterns.
Communicate and present findings and insights to both technical and non-technical audiences.
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